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An improved approach for estimation of flow and hysteresis parameters applicable to WAG experiments

机译:一种适用于WAG实验的估计流量和滞后参数的改进方法

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Water-alternating-gas (WAG) injection has demonstrated encouraging results for improving oil recovery. However, numerical simulation of three-phase flow and the associated hysteresis effects are not well-understood. Currently, modelling of hysteresis phenomena occurring in WAG cycles is based on updating two-phase relative permeabilities (krs) to account for three-phase characteristics, which is not a trivial task. In this work, a new assessment on the WAG-hysteresis model, which was originally developed for water-wet conditions, was carried out by automatic history-matching of two coreflood experiments in water-wet and mixed-wet conditions. Here in this work, it was attempted to estimate a set of more reliable two-phase krs within active saturation ranges of coreflood experiments performed under water-wet and mixed-wet conditions. Using the first cycle of the WAG experiments (first waterflood and the subsequent gas flood), the two-phase krs (oil/water and gas/oil) were estimated assuming minimal hysteresis occurs in the first cycle. For subsequent cycles, pertinent parameters of the WAG-hysteresis model are included in automatic history-matching process. The outcome of these historymatching exercises would indicate how the WAG-hysteresis model would perform under different wettability conditions using a more representative set of two-phase krs. Also, using these experiments, the ability of the WAG-hysteresis model in simulating the full cycles of WAG injections would be assessed. In other words, auto-history-matching of whole WAG coreflood experiments would enable integrated simulation of two and three-phase flow regions co-existing in cyclic WAG injection.
机译:水交替气(WAG)注入已显示出令人鼓舞的结果,可提高采油率。但是,对三相流的数值模拟及其相关的滞后效应还没有很好的理解。当前,在WAG循环中发生的磁滞现象的建模是基于更新两相相对磁导率(krs)以解决三相特征,这并不是一件容易的事。在这项工作中,通过在水湿和混合湿条件下对两个岩心驱油实验进行自动历史匹配,对最初针对水湿条件开发的WAG滞后模型进行了新的评估。在此工作中,尝试在水湿和混合湿条件下进行的岩心驱油实验有效饱和度范围内,估计一组更可靠的两相kr。使用WAG实验的第一个周期(第一次注水和随后的天然气注水),假设在第一个周期中出现了最小的磁滞,就可以估算出两相krs(油/水和气/油)。对于后续周期,WAG滞后模型的相关参数包括在自动历史匹配过程中。这些历史匹配练习的结果将表明,使用一组更具代表性的两相krs,在不同的润湿性条件下,WAG磁滞模型将如何执行。同样,使用这些实验,将评估WAG滞后模型在模拟WAG注射的整个周期中的能力。换句话说,整个WAG岩心驱替实验的自动历史匹配将能够对循环WAG注入中共存的两相和三相流区域进行集成模拟。

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